MacBook Pro (14-inch, 2023)
Geekbench AI Score
11131
Single Precision Score
12213
Half Precision Score
11407
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | October 09 2025 04:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
5424
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5357
996.3 IPS |
|
|
Image Classification (Q)
|
96% |
4898
914.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8183
132.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8256
133.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7757
125.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37248
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
40707
47.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
39322
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
4860
385.5 IPS |
|
|
Object Detection (HP)
|
100% |
4906
389.1 IPS |
|
|
Object Detection (Q)
|
92% |
4582
365.8 IPS |
|
|
Face Detection (SP)
|
100% |
17080
203.0 IPS |
|
|
Face Detection (HP)
|
100% |
17747
210.9 IPS |
|
|
Face Detection (Q)
|
100% |
15121
179.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24096
185.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25388
195.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
23176
181.0 IPS |
|
|
Style Transfer (SP)
|
100% |
69006
88.7 IPS |
|
|
Style Transfer (HP)
|
100% |
75570
97.1 IPS |
|
|
Style Transfer (Q)
|
96% |
74040
95.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13303
491.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14529
536.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12431
459.0 IPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4306
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4286
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3944
68.2 IPS |
