MacBook Pro (16-inch, 2021)
Geekbench AI Score
3484
Single Precision Score
5838
Half Precision Score
4662
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nejatezamin |
| Upload Date | October 22 2025 04:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
1967
365.8 IPS |
|
|
Image Classification (Q)
|
96% |
1401
261.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2486
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9628
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22869
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17599
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
2281
181.6 IPS |
|
|
Object Detection (Q)
|
94% |
1676
133.6 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5363
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3088
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5494
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10202
78.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7131
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21613
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34918
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27759
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4035
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5428
200.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3936
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5024
86.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5047
87.2 IPS |
