MacBook Pro (14-inch, 2021)
Geekbench AI Score
10071
Single Precision Score
11164
Half Precision Score
8484
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | August 18 2024 09:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
4391
816.6 IPS |
|
|
Image Classification (HP)
|
100% |
4620
859.2 IPS |
|
|
Image Classification (Q)
|
99% |
3855
719.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8563
138.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8660
140.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
8167
132.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
47226
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49167
57.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
43157
50.5 IPS |
|
|
Object Detection (SP)
|
100% |
4612
365.8 IPS |
|
|
Object Detection (HP)
|
100% |
4938
391.7 IPS |
|
|
Object Detection (Q)
|
91% |
3771
301.4 IPS |
|
|
Face Detection (SP)
|
100% |
18206
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
19012
225.9 IPS |
|
|
Face Detection (Q)
|
100% |
12932
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23483
180.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24683
190.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
5174
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79364
102.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95024
122.2 IPS |
|
|
Style Transfer (Q)
|
100% |
92550
119.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15723
580.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15450
570.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11199
414.9 IPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3795
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1434
24.8 IPS |
