MacBook Pro (16-inch, 2023)
Geekbench AI Score
10423
Single Precision Score
11537
Half Precision Score
10128
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 21 2024 08:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5199
966.8 IPS |
|
|
Image Classification (HP)
|
100% |
5531
1.03 KIPS |
|
|
Image Classification (Q)
|
97% |
4545
848.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8116
131.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8152
132.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8095
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44967
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47561
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44119
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
4928
390.9 IPS |
|
|
Object Detection (HP)
|
100% |
5101
404.6 IPS |
|
|
Object Detection (Q)
|
91% |
4334
346.3 IPS |
|
|
Face Detection (SP)
|
100% |
17919
212.9 IPS |
|
|
Face Detection (HP)
|
100% |
19855
235.9 IPS |
|
|
Face Detection (Q)
|
100% |
13515
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25634
197.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26613
205.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
22464
175.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79687
102.4 IPS |
|
|
Style Transfer (HP)
|
100% |
85410
109.8 IPS |
|
|
Style Transfer (Q)
|
96% |
79785
103.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17247
636.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17781
656.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14765
545.2 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1186
20.5 IPS |
