MacBook Pro (16-inch, 2021)
Geekbench AI Score
11767
Single Precision Score
13298
Half Precision Score
12384
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 11:22 AM |
| Views | 2 |
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% |
5317
988.8 IPS |
|
|
Image Classification (HP)
|
100% |
5440
1.01 KIPS |
|
|
Image Classification (Q)
|
96% |
4950
924.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11875
192.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12233
198.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11597
188.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57327
66.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
62772
73.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59747
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
5220
414.1 IPS |
|
|
Object Detection (HP)
|
100% |
5436
431.2 IPS |
|
|
Object Detection (Q)
|
92% |
5066
404.4 IPS |
|
|
Face Detection (SP)
|
100% |
21550
256.1 IPS |
|
|
Face Detection (HP)
|
100% |
22842
271.4 IPS |
|
|
Face Detection (Q)
|
100% |
19511
231.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26489
204.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28338
218.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
26031
203.3 IPS |
|
|
Style Transfer (SP)
|
100% |
96907
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122218
157.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120224
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17184
634.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17901
661.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15948
588.9 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4039
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1242
21.5 IPS |
