MacBook Pro (16-inch, 2021)
Geekbench AI Score
12002
Single Precision Score
13521
Half Precision Score
12334
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 01:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5197
966.5 IPS |
|
|
Image Classification (HP)
|
100% |
5147
957.2 IPS |
|
|
Image Classification (Q)
|
96% |
4726
882.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11749
190.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12207
197.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11627
188.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57158
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62170
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59214
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
5171
410.2 IPS |
|
|
Object Detection (HP)
|
100% |
5487
435.2 IPS |
|
|
Object Detection (Q)
|
92% |
4941
394.4 IPS |
|
|
Face Detection (SP)
|
100% |
21375
254.0 IPS |
|
|
Face Detection (HP)
|
100% |
22388
266.0 IPS |
|
|
Face Detection (Q)
|
100% |
19149
227.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26412
203.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28118
216.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
26181
204.5 IPS |
|
|
Style Transfer (SP)
|
100% |
97008
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121043
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
118725
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16704
616.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17896
660.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15461
570.9 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1394
24.1 IPS |
