MacBook Pro (16-inch, 2021)
Geekbench AI Score
3722
Single Precision Score
5968
Half Precision Score
4745
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | prashidi |
| Upload Date | June 16 2025 02:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2559
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11055
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22092
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17233
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2312
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5363
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3093
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10360
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7093
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21992
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34086
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27151
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4147
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4193
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4184
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4838
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4855
83.9 IPS |
