MacBook Pro (14-inch, 2021)
Geekbench AI Score
3636
Single Precision Score
16472
Half Precision Score
16430
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pheonix74 |
| Upload Date | April 26 2025 06:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
6893
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6638
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10435
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11141
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70582
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65815
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
8006
636.8 IPS |
|
|
Object Detection (Q)
|
91% |
7524
601.2 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15019
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51614
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53883
421.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22053
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119973
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117351
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4317
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25865
955.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27949
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4064
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3875
67.0 IPS |
