MacBook Pro (14-inch, 2021)
Geekbench AI Score
10786
Single Precision Score
11963
Half Precision Score
11171
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nhurst |
| Upload Date | December 05 2025 01:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4646
864.0 IPS |
|
|
Image Classification (HP)
|
100% |
4731
879.8 IPS |
|
|
Image Classification (Q)
|
96% |
4346
811.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10301
167.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10147
164.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9687
157.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47416
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
51060
59.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
49437
57.9 IPS |
|
|
Object Detection (SP)
|
100% |
4667
370.2 IPS |
|
|
Object Detection (HP)
|
100% |
4977
394.8 IPS |
|
|
Object Detection (Q)
|
92% |
4590
366.4 IPS |
|
|
Face Detection (SP)
|
100% |
18766
223.0 IPS |
|
|
Face Detection (HP)
|
100% |
19295
229.3 IPS |
|
|
Face Detection (Q)
|
100% |
16316
193.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23670
182.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25726
198.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
22837
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
79926
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96749
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
94519
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16057
592.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16612
613.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14650
541.0 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4266
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4171
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1473
25.4 IPS |
