MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4802
Single Precision Score
7451
Half Precision Score
5982
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | November 25 2024 05:53 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1505
279.9 IPS |
|
|
Image Classification (HP)
|
100% |
2409
447.9 IPS |
|
|
Image Classification (Q)
|
96% |
1803
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3387
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16734
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28482
33.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
21714
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2181
173.8 IPS |
|
|
Face Detection (SP)
|
100% |
4068
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
6554
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7435
57.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13425
103.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9149
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30782
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43737
56.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33848
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7623
281.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4711
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4920
84.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7082
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6965
120.4 IPS |
