MacBook Pro (13-inch, 2022)
Geekbench AI Score
3485
Single Precision Score
26103
Half Precision Score
28866
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
14718
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
14397
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18627
302.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23785
385.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
99350
115.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104565
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
15066
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17081
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
32562
386.9 IPS |
|
|
Face Detection (Q)
|
100% |
42004
499.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86455
666.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106401
831.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18751
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201092
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
185933
239.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4006
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39604
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47515
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3760
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4226
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4424
76.4 IPS |
