MacBook Pro (16-inch, 2021)
Geekbench AI Score
3741
Single Precision Score
16238
Half Precision Score
16233
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 10:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
6695
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6434
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9754
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10439
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11114
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70207
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65809
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
99% |
7901
628.5 IPS |
|
|
Object Detection (Q)
|
91% |
7352
587.4 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
16142
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
14858
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5903
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51019
393.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53225
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22393
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119593
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115834
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25645
946.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27791
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3956
68.4 IPS |
