MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2521
Single Precision Score
16754
Half Precision Score
19034
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 12:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
7644
1.42 KIPS |
|
|
Image Classification (Q)
|
97% |
7826
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6681
108.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13115
212.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8494
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
103608
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103516
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
9887
784.3 IPS |
|
|
Object Detection (Q)
|
93% |
10604
846.1 IPS |
|
|
Face Detection (SP)
|
100% |
2442
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
12784
151.9 IPS |
|
|
Face Detection (Q)
|
100% |
15797
187.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4834
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59535
458.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
70948
554.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12458
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
153796
197.7 IPS |
|
|
Style Transfer (Q)
|
96% |
142378
183.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4137
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21192
782.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26989
996.6 IPS |
|
|
Text Classification (SP)
|
100% |
572
764.1 IPS |
|
|
Text Classification (HP)
|
100% |
4616
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4430
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2909
50.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2905
50.2 IPS |
