MacBook Pro (13-inch, 2022)
Geekbench AI Score
6643
Single Precision Score
7469
Half Precision Score
6549
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 20 2024 09:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3663
681.2 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.8 IPS |
|
|
Image Classification (Q)
|
97% |
3052
569.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5036
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5085
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24276
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26296
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24439
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3543
281.0 IPS |
|
|
Object Detection (HP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (Q)
|
91% |
3080
246.1 IPS |
|
|
Face Detection (SP)
|
100% |
10377
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11890
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
8307
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16604
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17881
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
14817
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42516
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48952
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
45403
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9873
364.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10232
377.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8114
299.6 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3700
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
