MacBook Pro (14-inch, 2021)
Geekbench AI Score
3739
Single Precision Score
14833
Half Precision Score
14637
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | September 19 2024 12:43 AM |
| Views | 5 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
7015
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6688
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6477
105.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6767
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11091
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70881
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66455
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
99% |
8009
637.1 IPS |
|
|
Object Detection (Q)
|
91% |
7435
594.1 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
16204
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
15082
179.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5975
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51851
399.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
54368
424.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22458
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120906
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
116527
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26087
963.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28396
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1892
32.7 IPS |
