MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18794
Single Precision Score
21024
Half Precision Score
18931
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | qcpi069 |
| Upload Date | April 07 2025 11:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
8124
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8427
1.57 KIPS |
|
|
Image Classification (Q)
|
97% |
7264
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16739
271.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17649
286.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18411
298.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
92591
108.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
95908
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
91469
107.2 IPS |
|
|
Object Detection (SP)
|
100% |
8182
649.0 IPS |
|
|
Object Detection (HP)
|
100% |
9084
720.5 IPS |
|
|
Object Detection (Q)
|
91% |
7924
633.2 IPS |
|
|
Face Detection (SP)
|
100% |
34163
405.9 IPS |
|
|
Face Detection (HP)
|
100% |
38475
457.2 IPS |
|
|
Face Detection (Q)
|
100% |
28838
342.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40939
315.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41161
317.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
35180
274.9 IPS |
|
|
Style Transfer (SP)
|
100% |
187580
241.1 IPS |
|
|
Style Transfer (HP)
|
100% |
208362
267.9 IPS |
|
|
Style Transfer (Q)
|
96% |
190948
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25232
931.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27402
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21989
812.0 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4913
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4885
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2932
50.7 IPS |
