MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4801
Single Precision Score
7535
Half Precision Score
6050
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | muddybulldog |
| Upload Date | January 15 2025 01:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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 | 4.02 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% |
2413
448.8 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2730
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3394
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16819
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27803
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21987
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
97% |
2954
235.2 IPS |
|
|
Object Detection (Q)
|
94% |
2186
174.2 IPS |
|
|
Face Detection (SP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
6778
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
4000
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7442
57.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13499
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9251
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30644
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44583
57.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34400
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7844
289.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5079
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
2721
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4735
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4744
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4801
82.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7199
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7247
125.2 IPS |
