MacBook Pro (16-inch, 2021)
Geekbench AI Score
3756
Single Precision Score
16585
Half Precision Score
16477
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | machinecoach |
| Upload Date | December 09 2024 08:11 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
6906
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6626
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9750
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10436
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11047
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71323
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65456
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
7926
630.5 IPS |
|
|
Object Detection (Q)
|
91% |
7453
595.5 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
16245
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
15136
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51550
397.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53854
420.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22451
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119881
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115842
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4352
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26032
961.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28072
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4076
70.4 IPS |
