MacBook Pro (13-inch, 2022)
Geekbench AI Score
3433
Single Precision Score
27597
Half Precision Score
31098
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 24 2024 10:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
15068
2.80 KIPS |
|
|
Image Classification (Q)
|
96% |
15933
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19143
310.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23934
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6832
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
104385
121.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104912
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
99% |
15687
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17942
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
30866
366.8 IPS |
|
|
Face Detection (Q)
|
100% |
41683
495.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5599
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86436
665.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
109180
853.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18626
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201964
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194609
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4096
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40996
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49923
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6579
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7189
124.2 IPS |
