MacBook Pro (14-inch, 2021)
Geekbench AI Score
3648
Single Precision Score
16461
Half Precision Score
16537
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | chestnut |
| Upload Date | May 23 2025 12:56 PM |
| Views | 8 |
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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
7015
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6761
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9630
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10376
168.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10978
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70918
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67642
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
99% |
8038
639.4 IPS |
|
|
Object Detection (Q)
|
91% |
7567
604.6 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
15060
178.9 IPS |
|
|
Face Detection (Q)
|
100% |
15060
178.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52644
405.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
54261
424.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22005
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121754
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117939
152.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4377
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26314
971.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28347
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3871
66.9 IPS |
