MacBook Pro (13-inch, 2022)
Geekbench AI Score
3474
Single Precision Score
25962
Half Precision Score
29044
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 05 2025 03:10 AM |
| Views | 3 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
14255
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
15062
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19060
309.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23552
381.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6847
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
102501
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104744
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
15110
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17229
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
30476
362.1 IPS |
|
|
Face Detection (Q)
|
100% |
42645
506.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5761
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87131
671.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
107510
840.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18738
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201663
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189626
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39855
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47759
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3792
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4086
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4275
73.9 IPS |
