MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2417
Single Precision Score
16278
Half Precision Score
16920
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 01:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1148
213.4 IPS |
|
|
Image Classification (HP)
|
100% |
6977
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
7293
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6385
103.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6414
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15375
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
103044
120.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
98909
116.0 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (HP)
|
100% |
9642
764.8 IPS |
|
|
Object Detection (Q)
|
93% |
9740
777.1 IPS |
|
|
Face Detection (SP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
12538
149.0 IPS |
|
|
Face Detection (Q)
|
100% |
14855
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4242
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59450
458.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
62310
481.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15161
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
149186
191.8 IPS |
|
|
Style Transfer (Q)
|
100% |
148255
190.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2884
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20697
764.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24270
899.2 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.1 IPS |
|
|
Text Classification (HP)
|
100% |
4718
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2692
46.5 IPS |
