MacBook Pro (13-inch, 2022)
Geekbench AI Score
3479
Single Precision Score
26277
Half Precision Score
28902
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 18 2025 08:37 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
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
14278
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15676
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19546
316.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23676
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
103409
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105148
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
15132
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17504
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33427
397.2 IPS |
|
|
Face Detection (Q)
|
100% |
38375
456.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86968
670.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
106777
834.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18636
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201815
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190316
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39742
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47641
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3766
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4084
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4256
73.5 IPS |
