MacBook Pro (14-inch, 2023)
Geekbench AI Score
4137
Single Precision Score
6729
Half Precision Score
5284
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | October 21 2024 05:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2924
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12769
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25334
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19554
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.5 IPS |
|
|
Object Detection (HP)
|
97% |
2728
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
2006
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
5876
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3402
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6282
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12340
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8301
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24957
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39196
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30044
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6924
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4395
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3940
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6193
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6077
105.0 IPS |
