MacBook Pro (14-inch, 2021)
Geekbench AI Score
10223
Single Precision Score
11317
Half Precision Score
8462
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | August 18 2024 07:42 AM |
| Views | 6 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4359
810.6 IPS |
|
|
Image Classification (HP)
|
100% |
4529
842.3 IPS |
|
|
Image Classification (Q)
|
99% |
3864
720.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8665
140.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8549
138.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
8291
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
47150
55.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
49386
57.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
42957
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
4613
365.9 IPS |
|
|
Object Detection (HP)
|
100% |
4871
386.4 IPS |
|
|
Object Detection (Q)
|
91% |
3777
301.8 IPS |
|
|
Face Detection (SP)
|
100% |
18191
216.1 IPS |
|
|
Face Detection (HP)
|
100% |
18896
224.5 IPS |
|
|
Face Detection (Q)
|
100% |
12595
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23250
179.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24354
187.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
5170
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79010
101.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94337
121.3 IPS |
|
|
Style Transfer (Q)
|
100% |
92232
118.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15567
574.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15789
583.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11150
413.1 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1446
25.0 IPS |
