MacBook Pro (14-inch, 2021)
Geekbench AI Score
7858
Single Precision Score
8612
Half Precision Score
8028
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 09:18 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3617
672.6 IPS |
|
|
Image Classification (HP)
|
100% |
3734
694.3 IPS |
|
|
Image Classification (Q)
|
96% |
3410
636.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6702
108.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6775
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6460
104.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29691
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31223
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30154
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
3612
286.5 IPS |
|
|
Object Detection (HP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (Q)
|
92% |
3524
281.3 IPS |
|
|
Face Detection (SP)
|
100% |
12810
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
13490
160.3 IPS |
|
|
Face Detection (Q)
|
100% |
11649
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17362
133.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16137
124.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
15101
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49940
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
58722
75.5 IPS |
|
|
Style Transfer (Q)
|
96% |
57337
74.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10252
378.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10629
392.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9298
343.3 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3723
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1361
23.5 IPS |
