MacBook Pro (16-inch, 2021)
Geekbench AI Score
11703
Single Precision Score
12944
Half Precision Score
11593
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pep_one |
| Upload Date | February 15 2025 01:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
5163
960.1 IPS |
|
|
Image Classification (HP)
|
100% |
5153
958.3 IPS |
|
|
Image Classification (Q)
|
97% |
4489
837.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10132
164.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10438
169.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10694
173.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
57156
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
60542
70.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
55648
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
5315
421.6 IPS |
|
|
Object Detection (HP)
|
100% |
5501
436.3 IPS |
|
|
Object Detection (Q)
|
91% |
4708
376.2 IPS |
|
|
Face Detection (SP)
|
100% |
21617
256.9 IPS |
|
|
Face Detection (HP)
|
100% |
22674
269.4 IPS |
|
|
Face Detection (Q)
|
100% |
16643
197.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26663
205.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27764
213.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
23866
186.5 IPS |
|
|
Style Transfer (SP)
|
100% |
96992
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121460
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
113031
145.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17311
639.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17911
661.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14241
525.8 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1371
23.7 IPS |
