MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17473
Single Precision Score
20104
Half Precision Score
15223
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | October 30 2024 08:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 4.00 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7789
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8078
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
8058
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16882
273.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17880
289.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
17923
290.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
86583
101.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
95962
112.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
85079
99.6 IPS |
|
|
Object Detection (SP)
|
100% |
6887
546.3 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.3 IPS |
|
|
Object Detection (Q)
|
91% |
7147
571.1 IPS |
|
|
Face Detection (SP)
|
100% |
30989
368.2 IPS |
|
|
Face Detection (HP)
|
100% |
35112
417.2 IPS |
|
|
Face Detection (Q)
|
100% |
27669
328.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38015
292.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40827
314.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
6008
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
187901
241.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205267
263.9 IPS |
|
|
Style Transfer (Q)
|
100% |
204488
262.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25499
941.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25767
951.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20433
757.0 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5016
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2170
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2261
39.1 IPS |
