MacBook Pro (14-inch, 2021)
Geekbench AI Score
3659
Single Precision Score
16547
Half Precision Score
16427
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 07:26 PM |
| Views | 3 |
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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
6974
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6580
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9693
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10439
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11113
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70831
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67241
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
7992
635.8 IPS |
|
|
Object Detection (Q)
|
91% |
7546
602.9 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
16120
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
15043
178.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5801
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51923
400.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53703
419.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21854
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121221
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116358
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26523
979.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28246
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3850
66.5 IPS |
