MacBook Pro (M1 Max) Neural Engine MacBook Pro (14-inch, 2021)
Geekbench AI Score
3263
Single Precision Score
11656
Half Precision Score
11627
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 23 2024 12:51 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 24A5298h) |
| 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 | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1160
215.8 IPS |
|
|
Image Classification (HP)
|
100% |
6018
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5695
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2625
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9339
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70793
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66592
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
99% |
7203
573.0 IPS |
|
|
Object Detection (Q)
|
93% |
6597
526.4 IPS |
|
|
Face Detection (SP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
14400
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
11569
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5083
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49209
379.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
51496
402.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19486
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119011
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114192
147.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17113
631.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21018
776.1 IPS |
|
|
Text Classification (SP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3158
4.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3141
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1532
26.5 IPS |
