MacBook Pro (16-inch, 2021)
Geekbench AI Score
3515
Single Precision Score
5692
Half Precision Score
4542
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Hop56 |
| Upload Date | June 29 2025 03:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (Q)
|
96% |
1397
260.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10595
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22353
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17417
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2184
173.9 IPS |
|
|
Object Detection (Q)
|
94% |
1621
129.2 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
3011
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9644
74.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6875
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21733
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35952
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27854
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5500
203.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3866
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3696
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3659
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2959
51.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4770
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4767
82.4 IPS |
