MacBook Pro (14-inch, 2021)
Geekbench AI Score
3668
Single Precision Score
16467
Half Precision Score
16432
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | caramelbeard |
| Upload Date | May 07 2025 02:17 PM |
| Views | 3 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
6863
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6688
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11111
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70378
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67901
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
7995
636.0 IPS |
|
|
Object Detection (Q)
|
91% |
7512
600.2 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15051
178.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5820
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51824
399.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53927
421.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21997
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120407
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115672
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4296
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26076
962.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28038
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3672
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3824
66.1 IPS |
