MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4693
Single Precision Score
26519
Half Precision Score
28131
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 27 2025 01:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1469
273.2 IPS |
|
|
Image Classification (HP)
|
100% |
6243
1.16 KIPS |
|
|
Image Classification (Q)
|
97% |
6984
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21379
346.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27067
438.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16479
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
115706
135.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
112327
131.7 IPS |
|
|
Object Detection (SP)
|
100% |
1903
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
16053
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17004
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3831
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
36424
432.8 IPS |
|
|
Face Detection (Q)
|
100% |
47318
562.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7163
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103476
797.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
120943
945.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29662
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202509
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
211946
273.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40173
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52111
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5211
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4381
75.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2610
45.1 IPS |
