MacBook Pro (16-inch, 2021)
Geekbench AI Score
3685
Single Precision Score
5872
Half Precision Score
4684
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | May 14 2025 12:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.6 IPS |
|
|
Image Classification (Q)
|
96% |
1510
281.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11001
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22224
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16842
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2282
181.7 IPS |
|
|
Object Detection (Q)
|
94% |
1715
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5316
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3006
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10433
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7205
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21846
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32318
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27047
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4062
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4851
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4730
81.7 IPS |
