MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17836
Single Precision Score
19699
Half Precision Score
17938
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | November 12 2024 07:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
7414
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7718
1.44 KIPS |
|
|
Image Classification (Q)
|
97% |
6937
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16510
267.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17098
277.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17858
289.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
91684
107.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
95158
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
88832
104.1 IPS |
|
|
Object Detection (SP)
|
100% |
7576
600.9 IPS |
|
|
Object Detection (HP)
|
100% |
8100
642.5 IPS |
|
|
Object Detection (Q)
|
91% |
7198
575.2 IPS |
|
|
Face Detection (SP)
|
100% |
31960
379.8 IPS |
|
|
Face Detection (HP)
|
100% |
34635
411.5 IPS |
|
|
Face Detection (Q)
|
100% |
26954
320.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37812
291.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40266
310.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
34310
268.1 IPS |
|
|
Style Transfer (SP)
|
100% |
184319
236.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202898
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
187042
241.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23451
865.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24893
919.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20726
765.3 IPS |
|
|
Text Classification (SP)
|
100% |
2638
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4607
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4548
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2672
46.2 IPS |
