MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
11046
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 02 2024 05:57 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7089
1.33 KIPS |
|
|
Image Classification (F16)
|
100% |
7002
1.31 KIPS |
|
|
Image Classification (I8)
|
99% |
6833
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3001
50.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2591
43.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2589
43.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
84662
102.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
92924
112.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
95371
115.5 IPS |
|
|
Object Detection (F32)
|
100% |
5219
389.6 IPS |
|
|
Object Detection (F16)
|
100% |
3899
291.1 IPS |
|
|
Object Detection (I8)
|
97% |
5047
376.8 IPS |
|
|
Face Detection (F32)
|
100% |
26229
311.9 IPS |
|
|
Face Detection (F16)
|
97% |
14636
174.0 IPS |
|
|
Face Detection (I8)
|
96% |
14411
171.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
35905
278.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
34042
264.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
31457
244.0 IPS |
|
|
Style Transfer (F32)
|
100% |
169573
223.1 IPS |
|
|
Style Transfer (F16)
|
100% |
140630
185.0 IPS |
|
|
Style Transfer (I8)
|
100% |
144388
189.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10945
390.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17807
636.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16324
583.0 IPS |
|
|
Text Classification (F32)
|
100% |
477
685.5 IPS |
|
|
Text Classification (F16)
|
100% |
3170
4.56 KIPS |
|
|
Text Classification (I8)
|
96% |
3179
4.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3278
60.3 IPS |
|
|
Machine Translation (I8)
|
99% |
975
17.9 IPS |
