MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4874
Single Precision Score
28034
Half Precision Score
29484
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | October 30 2024 10:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1515
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
16056
2.99 KIPS |
|
|
Image Classification (Q)
|
99% |
16336
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16686
270.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
16662
270.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16762
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116790
136.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
113346
132.9 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
16410
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
16642
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4037
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
24498
291.1 IPS |
|
|
Face Detection (Q)
|
100% |
32278
383.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7141
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86670
667.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
90955
703.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30733
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
165749
213.1 IPS |
|
|
Style Transfer (Q)
|
100% |
164135
211.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41346
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
52346
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3038
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5116
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4798
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4987
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7846
135.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7990
138.1 IPS |
