MacBook Pro (14-inch, 2021)
Geekbench AI Score
3738
Single Precision Score
16354
Half Precision Score
16268
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | renansoares |
| Upload Date | March 18 2025 12:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
6972
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6669
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9670
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10268
166.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11116
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70712
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65873
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7908
629.1 IPS |
|
|
Object Detection (Q)
|
91% |
7413
592.3 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
15843
188.2 IPS |
|
|
Face Detection (Q)
|
100% |
14804
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5955
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51474
396.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53233
416.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22307
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120009
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115527
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25801
952.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28155
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3326
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3828
66.1 IPS |
