MacBook Pro (14-inch, 2021)
Geekbench AI Score
3753
Single Precision Score
5742
Half Precision Score
4692
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Halbbyte |
| Upload Date | January 02 2025 01:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2054
382.0 IPS |
|
|
Image Classification (Q)
|
96% |
1484
277.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2635
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11147
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22366
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16904
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2345
186.7 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5319
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3132
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5913
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10901
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7410
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22347
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33492
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25621
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6417
236.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4051
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3255
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4798
82.9 IPS |
