MacBook Pro (14-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
5743
Half Precision Score
4944
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | August 18 2024 09:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
99% |
2035
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2324
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10979
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21767
25.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16574
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2346
186.8 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5372
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5884
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10826
83.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
10881
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22236
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35300
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35418
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3955
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3753
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3509
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3521
60.8 IPS |
