MacBook Pro (14-inch, 2023)
Geekbench AI Score
4122
Single Precision Score
27167
Half Precision Score
30105
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 10 2025 07:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
14895
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
16967
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19928
323.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24538
397.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12733
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105855
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104195
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
99% |
15212
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17081
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
35500
421.8 IPS |
|
|
Face Detection (Q)
|
100% |
45593
541.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6196
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88403
681.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108445
847.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24767
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204399
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189320
244.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41477
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48956
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4438
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4175
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4392
75.9 IPS |
