MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4783
Single Precision Score
7460
Half Precision Score
5962
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 30 2024 09:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.6 IPS |
|
|
Image Classification (Q)
|
96% |
1803
336.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2694
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16737
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28173
32.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
21531
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
97% |
2939
234.0 IPS |
|
|
Object Detection (Q)
|
94% |
2229
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7233
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13073
101.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8945
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30595
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
43551
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33150
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8010
295.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5075
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2711
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4786
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4696
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4882
84.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6975
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7034
121.5 IPS |
