MacBook Pro (13-inch, 2022)
Geekbench AI Score
3434
Single Precision Score
26730
Half Precision Score
29865
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | StoneMan240 |
| Upload Date | September 07 2025 07:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
15020
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15509
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19703
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24178
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
104223
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105091
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
15791
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17805
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
31049
368.9 IPS |
|
|
Face Detection (Q)
|
100% |
42876
509.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5533
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87231
672.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109704
857.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18572
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205258
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194033
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40966
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50443
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4283
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4413
76.3 IPS |
