MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3880
Single Precision Score
5382
Half Precision Score
4475
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | marlody |
| Upload Date | August 16 2024 01:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1714
318.8 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (Q)
|
99% |
2045
381.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1430
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8500
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
16467
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14368
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1873
148.5 IPS |
|
|
Object Detection (HP)
|
97% |
2581
205.5 IPS |
|
|
Object Detection (Q)
|
94% |
1966
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
5023
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
3396
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9785
75.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4192
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19689
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29212
37.6 IPS |
|
|
Style Transfer (Q)
|
100% |
29330
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5298
195.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4162
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4660
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4662
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4820
83.3 IPS |
