MacBook Pro (14-inch, 2023)
Geekbench AI Score
4149
Single Precision Score
6665
Half Precision Score
5229
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.5 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2923
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13105
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25665
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19342
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
2699
214.9 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
3648
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
5857
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3441
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6387
49.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11992
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8118
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24367
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38836
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29332
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6956
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4389
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3746
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6229
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6189
106.9 IPS |
