MacBook Pro (14-inch, 2021)
Geekbench AI Score
3686
Single Precision Score
16678
Half Precision Score
16510
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 09:40 AM |
| Views | 5 |
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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
7127
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6855
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9697
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10445
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11129
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
72236
84.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
68191
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
8152
648.5 IPS |
|
|
Object Detection (Q)
|
91% |
7636
610.2 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
16092
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14095
167.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52256
402.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
54380
425.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22028
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121245
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117037
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4424
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26403
974.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28743
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3891
67.2 IPS |
