MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3889
Single Precision Score
5398
Half Precision Score
4518
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | August 31 2024 10:00 AM |
| Views | 9 |
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 | Mac15,9 |
| 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 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
99% |
2014
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1446
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8665
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17140
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14599
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1844
146.3 IPS |
|
|
Object Detection (HP)
|
97% |
2512
200.0 IPS |
|
|
Object Detection (Q)
|
94% |
1973
157.3 IPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
5141
61.1 IPS |
|
|
Face Detection (Q)
|
100% |
3363
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6771
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9785
75.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4418
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19957
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29625
38.1 IPS |
|
|
Style Transfer (Q)
|
100% |
29627
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4228
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4536
6.05 KIPS |
|
|
Text Classification (Q)
|
93% |
4598
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3032
52.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4714
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4937
85.3 IPS |
