MacBook Pro (14-inch, 2023)
Geekbench AI Score
4097
Single Precision Score
6599
Half Precision Score
5251
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | April 28 2025 07:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2248
418.1 IPS |
|
|
Image Classification (Q)
|
96% |
1667
311.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2746
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12223
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25290
29.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
19522
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
97% |
2639
210.1 IPS |
|
|
Object Detection (Q)
|
94% |
1987
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5755
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3332
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6138
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10953
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7906
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24880
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36715
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29549
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6296
232.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4490
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7005
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6236
107.8 IPS |
