MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
10681
Single Precision Score
11356
Half Precision Score
3531
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 07:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5679
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
6098
1.13 KIPS |
|
|
Image Classification (Q)
|
97% |
4611
860.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7675
124.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9718
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9906
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45376
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48299
56.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
43500
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
5763
457.2 IPS |
|
|
Object Detection (HP)
|
100% |
6023
477.7 IPS |
|
|
Object Detection (Q)
|
92% |
4894
390.6 IPS |
|
|
Face Detection (SP)
|
100% |
16074
191.0 IPS |
|
|
Face Detection (HP)
|
100% |
20029
238.0 IPS |
|
|
Face Detection (Q)
|
100% |
14459
171.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27261
210.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29943
230.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
184.8 IPS |
|
|
Style Transfer (SP)
|
100% |
92574
119.0 IPS |
|
|
Style Transfer (HP)
|
100% |
105124
135.1 IPS |
|
|
Style Transfer (Q)
|
96% |
97725
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14792
546.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16296
601.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12149
448.6 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
93% |
902
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2004
34.6 IPS |
