MacBook Pro (14-inch, 2021)
Geekbench AI Score
3654
Single Precision Score
16364
Half Precision Score
16341
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | May 26 2025 01:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
6952
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6686
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9586
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10305
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11109
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70233
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65952
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
7972
634.2 IPS |
|
|
Object Detection (Q)
|
91% |
7503
599.5 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
15777
187.5 IPS |
|
|
Face Detection (Q)
|
100% |
14845
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51514
396.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53860
420.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21932
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121579
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116931
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25837
954.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27996
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2281
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3785
65.4 IPS |
