MacBook Pro (14-inch, 2023)
Geekbench AI Score
10038
Single Precision Score
11052
Half Precision Score
9477
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 06:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5182
963.7 IPS |
|
|
Image Classification (HP)
|
100% |
5232
972.9 IPS |
|
|
Image Classification (Q)
|
97% |
4426
825.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7291
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7295
118.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7143
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37200
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39480
46.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
36710
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
4865
385.9 IPS |
|
|
Object Detection (HP)
|
100% |
4997
396.4 IPS |
|
|
Object Detection (Q)
|
91% |
4220
337.2 IPS |
|
|
Face Detection (SP)
|
100% |
16784
199.4 IPS |
|
|
Face Detection (HP)
|
100% |
17571
208.8 IPS |
|
|
Face Detection (Q)
|
100% |
12539
149.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24168
186.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25093
193.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21077
164.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68688
88.3 IPS |
|
|
Style Transfer (HP)
|
100% |
74976
96.4 IPS |
|
|
Style Transfer (Q)
|
96% |
70000
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13522
499.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14088
520.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11272
416.2 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1432
24.7 IPS |
