MacBook Pro (14-inch, 2023)
Geekbench AI Score
11023
Single Precision Score
11989
Half Precision Score
11219
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | DavidBaz |
| Upload Date | March 15 2026 04:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
5307
987.0 IPS |
|
|
Image Classification (HP)
|
100% |
5244
975.3 IPS |
|
|
Image Classification (Q)
|
96% |
4803
896.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8162
132.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8186
132.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7832
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37145
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
40602
47.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39183
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
4767
378.1 IPS |
|
|
Object Detection (HP)
|
100% |
4859
385.5 IPS |
|
|
Object Detection (Q)
|
92% |
4527
361.4 IPS |
|
|
Face Detection (SP)
|
100% |
16936
201.2 IPS |
|
|
Face Detection (HP)
|
100% |
17694
210.2 IPS |
|
|
Face Detection (Q)
|
100% |
14985
178.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24009
185.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25579
197.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
23142
180.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68679
88.3 IPS |
|
|
Style Transfer (HP)
|
100% |
75454
97.0 IPS |
|
|
Style Transfer (Q)
|
96% |
74014
95.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13201
487.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14241
525.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12276
453.3 IPS |
|
|
Text Classification (SP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4221
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4183
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3595
62.1 IPS |
