MacBook Pro (14-inch, 2021)
Geekbench AI Score
7829
Single Precision Score
8629
Half Precision Score
8019
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 09:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.18 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
3406
636.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6487
105.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6812
110.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6449
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29505
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31838
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30880
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3688
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
3799
301.4 IPS |
|
|
Object Detection (Q)
|
92% |
3554
283.7 IPS |
|
|
Face Detection (SP)
|
100% |
12994
154.4 IPS |
|
|
Face Detection (HP)
|
100% |
13634
162.0 IPS |
|
|
Face Detection (Q)
|
100% |
11818
140.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17284
133.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16517
127.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15043
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50061
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59740
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
57971
74.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10326
381.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11028
407.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9544
352.4 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1157
20.0 IPS |
