MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
2365
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mweinbach |
| Upload Date | December 08 2023 04:54 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1129
211.2 IPS |
|
|
Image Classification (F16)
|
100% |
1139
213.1 IPS |
|
|
Image Classification (I8)
|
99% |
1128
211.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
669
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
617
10.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
619
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
15067
18.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19998
24.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
19454
23.6 IPS |
|
|
Object Detection (F32)
|
100% |
1242
92.7 IPS |
|
|
Object Detection (F16)
|
100% |
1354
101.1 IPS |
|
|
Object Detection (I8)
|
97% |
1140
85.1 IPS |
|
|
Face Detection (F32)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (F16)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (I8)
|
99% |
2027
24.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4384
34.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
4030
31.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3934
30.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16122
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
15565
20.5 IPS |
|
|
Style Transfer (I8)
|
100% |
15752
20.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3153
112.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2775
99.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2522
90.1 IPS |
|
|
Text Classification (F32)
|
100% |
961
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
526
756.0 IPS |
|
|
Text Classification (I8)
|
96% |
946
1.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1168
21.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1126
20.7 IPS |
