MacBook Pro (13-inch, 2022)
Geekbench AI Score
3481
Single Precision Score
26147
Half Precision Score
29115
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 20 2025 01:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
14629
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15003
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18881
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23841
386.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6866
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
100131
116.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104523
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
99% |
15101
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17160
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33004
392.2 IPS |
|
|
Face Detection (Q)
|
100% |
42939
510.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5773
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87528
674.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109943
859.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18685
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201523
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191029
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39771
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47340
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3749
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4264
73.7 IPS |
