MacBook Pro (14-inch, 2021)
Geekbench AI Score
3693
Single Precision Score
16465
Half Precision Score
16369
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Crimble |
| Upload Date | July 01 2025 10:08 AM |
| Views | 4 |
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, 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
7085
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6694
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9694
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10433
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11126
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70400
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65894
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
8009
637.1 IPS |
|
|
Object Detection (Q)
|
91% |
7506
599.7 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
15763
187.3 IPS |
|
|
Face Detection (Q)
|
100% |
14996
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5835
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51461
396.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53196
415.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22019
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121386
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117312
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4402
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25902
956.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27840
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3836
66.3 IPS |
