MacBook Pro (14-inch, 2021)
Geekbench AI Score
3740
Single Precision Score
6063
Half Precision Score
4932
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 01:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
1179
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
2011
373.9 IPS |
|
|
Image Classification (Q)
|
96% |
1524
284.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2639
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11060
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23507
27.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18446
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.4 IPS |
|
|
Object Detection (HP)
|
97% |
2404
191.4 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
5660
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3231
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5913
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10506
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7384
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23097
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36201
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28893
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4474
165.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4242
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4418
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5248
90.7 IPS |
