MacBook Pro (16-inch, 2021)
Geekbench AI Score
10507
Single Precision Score
11493
Half Precision Score
11474
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nejatezamin |
| Upload Date | October 22 2025 04:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| 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% |
5102
948.8 IPS |
|
|
Image Classification (HP)
|
100% |
5042
937.7 IPS |
|
|
Image Classification (Q)
|
96% |
4822
900.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11766
190.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11602
188.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11299
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
55104
64.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59742
69.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
56821
66.6 IPS |
|
|
Object Detection (SP)
|
100% |
3005
238.4 IPS |
|
|
Object Detection (HP)
|
100% |
3517
279.0 IPS |
|
|
Object Detection (Q)
|
92% |
3239
258.6 IPS |
|
|
Face Detection (SP)
|
100% |
14587
173.3 IPS |
|
|
Face Detection (HP)
|
100% |
13682
162.6 IPS |
|
|
Face Detection (Q)
|
100% |
18287
217.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25628
197.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24493
188.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
24181
188.9 IPS |
|
|
Style Transfer (SP)
|
100% |
94184
121.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117381
150.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114809
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16127
595.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17239
636.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15124
558.4 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1310
22.6 IPS |
