MacBook Pro (14-inch, 2021)
Geekbench AI Score
3730
Single Precision Score
13887
Half Precision Score
14244
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | highlander |
| Upload Date | September 17 2024 04:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
7106
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7453
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5836
94.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5909
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10587
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
69565
81.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
66397
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
7212
573.7 IPS |
|
|
Object Detection (Q)
|
91% |
7244
578.8 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
11868
141.0 IPS |
|
|
Face Detection (Q)
|
100% |
13143
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5707
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45876
353.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
49578
383.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22113
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117058
150.5 IPS |
|
|
Style Transfer (Q)
|
100% |
123001
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26446
976.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27249
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1853
32.0 IPS |
