MacBook Pro (14-inch, 2023)
Geekbench AI Score
4147
Single Precision Score
6708
Half Precision Score
5683
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | August 21 2024 04:06 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 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% |
2252
418.8 IPS |
|
|
Image Classification (Q)
|
99% |
2235
416.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2500
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12686
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25596
29.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18618
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
2719
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
5887
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3413
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6389
49.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12294
95.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
12224
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24899
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38947
50.1 IPS |
|
|
Style Transfer (Q)
|
100% |
39297
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6931
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4350
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6182
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6232
107.7 IPS |
