MacBook Pro (14-inch, 2021)
Geekbench AI Score
3599
Single Precision Score
15989
Half Precision Score
16028
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | yusryprince |
| Upload Date | October 24 2025 06:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
6115
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5927
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9334
151.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10069
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10554
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66957
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
63134
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.6 IPS |
|
|
Object Detection (HP)
|
99% |
7232
575.3 IPS |
|
|
Object Detection (Q)
|
91% |
6823
545.2 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
13451
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
12378
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5702
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47784
368.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
46905
366.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22100
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
119296
153.4 IPS |
|
|
Style Transfer (Q)
|
96% |
112649
145.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4112
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24840
917.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26065
962.4 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4149
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4932
84.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6155
106.4 IPS |
