MacBook Pro (16-inch, 2021)
Geekbench AI Score
3703
Single Precision Score
5862
Half Precision Score
4712
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | maxloginov |
| Upload Date | November 28 2025 12:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2039
379.1 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2614
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11212
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22397
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17339
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2300
183.1 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5256
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
3049
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5756
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10219
79.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7159
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21980
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33765
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26245
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4094
151.2 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4805
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4755
82.2 IPS |
