MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4675
Single Precision Score
7362
Half Precision Score
5854
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 27 2025 01:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.95 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (HP)
|
100% |
2338
434.8 IPS |
|
|
Image Classification (Q)
|
96% |
1718
320.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3204
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16307
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
27758
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21621
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
97% |
2967
236.2 IPS |
|
|
Object Detection (Q)
|
94% |
2144
170.9 IPS |
|
|
Face Detection (SP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
6350
75.5 IPS |
|
|
Face Detection (Q)
|
100% |
3780
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7158
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12629
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8767
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30238
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
42067
54.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33292
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7906
291.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
2789
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4913
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4822
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6946
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6947
120.0 IPS |
