MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4797
Single Precision Score
27272
Half Precision Score
29735
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 31 2024 11:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1512
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
15961
2.97 KIPS |
|
|
Image Classification (Q)
|
99% |
16845
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16932
274.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
16927
274.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16800
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116385
135.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
113449
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.7 IPS |
|
|
Object Detection (HP)
|
100% |
15391
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16537
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
24821
294.9 IPS |
|
|
Face Detection (Q)
|
100% |
38732
460.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7407
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
82926
638.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
86523
669.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30950
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
163054
209.6 IPS |
|
|
Style Transfer (Q)
|
100% |
163274
209.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37844
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50191
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4819
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4660
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7684
132.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7894
136.4 IPS |
