MacBook Pro (14-inch, 2021)
Geekbench AI Score
3643
Single Precision Score
5996
Half Precision Score
4826
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nhurst |
| Upload Date | December 05 2025 01:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
2068
384.5 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10432
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23305
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17981
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
97% |
2343
186.5 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
5423
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10464
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7317
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21882
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35068
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27922
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5568
205.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4105
151.6 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4137
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5117
88.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5126
88.6 IPS |
