MacBook Pro (14-inch, 2021)
Geekbench AI Score
11775
Single Precision Score
13262
Half Precision Score
12361
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | felixskw |
| Upload Date | November 11 2025 05:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
5259
978.0 IPS |
|
|
Image Classification (HP)
|
100% |
5339
992.8 IPS |
|
|
Image Classification (Q)
|
96% |
4928
920.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11830
191.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12202
197.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11656
189.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57051
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62216
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59273
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
5232
415.0 IPS |
|
|
Object Detection (HP)
|
100% |
5463
433.3 IPS |
|
|
Object Detection (Q)
|
92% |
5080
405.5 IPS |
|
|
Face Detection (SP)
|
100% |
21348
253.7 IPS |
|
|
Face Detection (HP)
|
100% |
22381
265.9 IPS |
|
|
Face Detection (Q)
|
100% |
19652
233.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26859
206.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
28096
216.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
26188
204.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96989
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122455
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119522
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17176
634.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18220
672.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15861
585.7 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4060
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1216
21.0 IPS |
