MacBook Pro (16-inch, 2021)
Geekbench AI Score
3754
Single Precision Score
16481
Half Precision Score
16207
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aminutolo |
| Upload Date | November 20 2024 06:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
6974
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6601
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9821
159.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10461
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11289
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
70791
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66408
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
8074
642.3 IPS |
|
|
Object Detection (Q)
|
91% |
7405
591.7 IPS |
|
|
Face Detection (SP)
|
100% |
3381
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
16044
190.6 IPS |
|
|
Face Detection (Q)
|
100% |
13967
166.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5871
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51580
397.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53452
417.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22328
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120342
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117269
151.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25937
957.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28004
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3958
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3796
65.6 IPS |
