MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17895
Single Precision Score
19816
Half Precision Score
18017
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | November 06 2024 08:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
7842
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8134
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7093
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16635
269.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17557
284.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18119
293.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
92435
107.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
95410
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
89449
104.8 IPS |
|
|
Object Detection (SP)
|
100% |
7583
601.5 IPS |
|
|
Object Detection (HP)
|
100% |
8136
645.4 IPS |
|
|
Object Detection (Q)
|
91% |
7020
560.9 IPS |
|
|
Face Detection (SP)
|
100% |
31620
375.7 IPS |
|
|
Face Detection (HP)
|
100% |
34957
415.4 IPS |
|
|
Face Detection (Q)
|
100% |
26806
318.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
37793
291.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40098
308.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
34524
269.8 IPS |
|
|
Style Transfer (SP)
|
100% |
182707
234.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201218
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
186454
240.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23309
860.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24563
907.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20658
762.8 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4525
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4512
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2687
46.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2778
48.0 IPS |
