MacBook Pro (14-inch, 2021)
Geekbench AI Score
8161
Single Precision Score
8787
Half Precision Score
8328
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 09:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
3728
693.4 IPS |
|
|
Image Classification (HP)
|
100% |
3824
711.2 IPS |
|
|
Image Classification (Q)
|
96% |
3515
656.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6728
109.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6772
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6462
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29808
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31328
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30232
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3677
291.6 IPS |
|
|
Object Detection (HP)
|
100% |
3888
308.4 IPS |
|
|
Object Detection (Q)
|
92% |
3582
285.9 IPS |
|
|
Face Detection (SP)
|
100% |
12944
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
13445
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
11367
135.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17328
133.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16308
125.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
15069
117.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50222
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58919
75.7 IPS |
|
|
Style Transfer (Q)
|
96% |
57640
74.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10508
388.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10807
399.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9416
347.7 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1753
30.3 IPS |
