MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4806
Single Precision Score
7540
Half Precision Score
6481
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 31 2024 11:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
2403
446.9 IPS |
|
|
Image Classification (Q)
|
99% |
2410
449.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2750
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16811
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29061
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
21797
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.7 IPS |
|
|
Object Detection (HP)
|
97% |
2946
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2182
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
4101
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
6858
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
4049
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7442
57.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13656
105.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13450
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30952
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
44439
57.1 IPS |
|
|
Style Transfer (Q)
|
100% |
44348
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5765
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7616
281.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4950
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
2674
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4897
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4812
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4812
82.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6995
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7220
124.8 IPS |
