MacBook Pro (14-inch, 2021)
Geekbench AI Score
3718
Single Precision Score
6232
Half Precision Score
4959
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Zedd |
| Upload Date | November 07 2025 05:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2155
400.7 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10507
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23467
27.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18242
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2456
195.5 IPS |
|
|
Object Detection (Q)
|
94% |
1805
143.9 IPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
5678
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3255
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5779
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10606
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7405
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22783
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36475
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28987
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4301
158.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4290
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4199
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4153
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5323
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5273
91.1 IPS |
