MacBook Pro (14-inch, 2021)
Geekbench AI Score
3655
Single Precision Score
16503
Half Precision Score
16469
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 10:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
6914
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6652
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9668
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10418
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11148
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70206
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67822
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
8014
637.5 IPS |
|
|
Object Detection (Q)
|
91% |
7608
607.9 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15099
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52055
401.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53887
421.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21975
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121119
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115812
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26127
964.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28125
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2925
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3834
66.3 IPS |
