MacBook Pro (14-inch, 2021)
Geekbench AI Score
11618
Single Precision Score
12760
Half Precision Score
11335
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | collverab3 |
| Upload Date | November 04 2024 05:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5156
958.9 IPS |
|
|
Image Classification (HP)
|
100% |
5291
984.0 IPS |
|
|
Image Classification (Q)
|
97% |
4516
842.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10314
167.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10579
171.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10748
174.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57007
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
60561
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55976
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (HP)
|
100% |
5412
429.3 IPS |
|
|
Object Detection (Q)
|
91% |
4686
374.5 IPS |
|
|
Face Detection (SP)
|
100% |
19939
236.9 IPS |
|
|
Face Detection (HP)
|
100% |
19715
234.3 IPS |
|
|
Face Detection (Q)
|
100% |
15304
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26846
206.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27547
212.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
23109
180.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96152
123.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120127
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111858
144.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16993
627.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17651
651.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14487
534.9 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
