MacBook Pro (14-inch, 2021)
Geekbench AI Score
3632
Single Precision Score
14176
Half Precision Score
13979
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 17 2026 03:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
5945
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5644
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8711
141.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9359
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10489
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
66201
77.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
62503
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
6837
543.8 IPS |
|
|
Object Detection (Q)
|
91% |
6421
513.1 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
12912
153.4 IPS |
|
|
Face Detection (Q)
|
100% |
12135
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5723
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44243
340.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
45649
356.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22088
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
114316
147.0 IPS |
|
|
Style Transfer (Q)
|
96% |
108104
139.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24030
887.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25065
925.6 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2226
38.5 IPS |
