MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9533
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 22 2024 03:51 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6389
1.20 KIPS |
|
|
Image Classification (F16)
|
100% |
6575
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
6681
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2966
49.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2513
42.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2497
41.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
61891
74.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
89527
108.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
90370
109.4 IPS |
|
|
Object Detection (F32)
|
100% |
4629
345.6 IPS |
|
|
Object Detection (F16)
|
100% |
4276
319.2 IPS |
|
|
Object Detection (I8)
|
97% |
4721
352.5 IPS |
|
|
Face Detection (F32)
|
100% |
21348
253.8 IPS |
|
|
Face Detection (F16)
|
97% |
11983
142.5 IPS |
|
|
Face Detection (I8)
|
96% |
11969
142.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
30563
237.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
37540
291.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
35195
272.9 IPS |
|
|
Style Transfer (F32)
|
100% |
130099
171.1 IPS |
|
|
Style Transfer (F16)
|
100% |
139855
184.0 IPS |
|
|
Style Transfer (I8)
|
100% |
142831
187.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9817
350.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16382
585.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18025
643.7 IPS |
|
|
Text Classification (F32)
|
100% |
1295
1.86 KIPS |
|
|
Text Classification (F16)
|
100% |
774
1.11 KIPS |
|
|
Text Classification (I8)
|
96% |
649
933.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1149
21.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1197
22.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1173
21.6 IPS |
