MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4729
Single Precision Score
7483
Half Precision Score
6016
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 07:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 4.03 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1494
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.4 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2665
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16642
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28692
33.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21867
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (HP)
|
97% |
2959
235.6 IPS |
|
|
Object Detection (Q)
|
94% |
2192
174.7 IPS |
|
|
Face Detection (SP)
|
100% |
3958
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6540
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3959
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7353
56.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13021
100.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9039
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30829
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
44199
56.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33757
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7934
293.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5049
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
2723
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4844
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4937
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7006
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7055
121.9 IPS |
