MacBook Pro (14-inch, 2023)
Geekbench AI Score
4151
Single Precision Score
6700
Half Precision Score
5739
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Bishop_Swift |
| Upload Date | August 16 2024 09:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2249
418.3 IPS |
|
|
Image Classification (Q)
|
99% |
2241
418.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2596
42.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2606
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12922
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25019
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
19364
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
97% |
2715
216.1 IPS |
|
|
Object Detection (Q)
|
94% |
2018
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
5725
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3428
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6253
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12149
93.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
12213
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24817
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38620
49.6 IPS |
|
|
Style Transfer (Q)
|
100% |
38322
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5090
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6900
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4378
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3878
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4581
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6341
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6236
107.8 IPS |
