MacBook Pro (14-inch, 2021)
Geekbench AI Score
3634
Single Precision Score
14674
Half Precision Score
14422
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | shakal00 |
| Upload Date | November 17 2025 02:04 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1312
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
6022
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5709
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8809
142.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9347
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10518
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
68330
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65292
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7017
558.2 IPS |
|
|
Object Detection (Q)
|
91% |
6450
515.4 IPS |
|
|
Face Detection (SP)
|
100% |
3347
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
12799
152.1 IPS |
|
|
Face Detection (Q)
|
100% |
12027
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46482
358.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47278
369.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22066
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
116607
149.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111869
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4131
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24271
896.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24874
918.5 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2625
45.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2726
47.1 IPS |
