MacBook Pro (14-inch, 2023)
Geekbench AI Score
4121
Single Precision Score
26572
Half Precision Score
29661
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hovely |
| Upload Date | June 17 2025 04:22 AM |
| Views | 8 |
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, 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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
13825
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
17263
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19454
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23960
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12791
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105584
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104111
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.2 IPS |
|
|
Object Detection (HP)
|
99% |
14993
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16587
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
35000
415.9 IPS |
|
|
Face Detection (Q)
|
100% |
44861
533.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6193
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87581
674.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108072
844.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24925
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203873
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190591
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41901
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48407
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4109
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4050
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4074
70.4 IPS |
