MacBook Pro (14-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
13662
Half Precision Score
14048
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ashvin |
| Upload Date | August 16 2024 07:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
6766
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
7075
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5883
95.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5896
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11197
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69618
81.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
66055
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
99% |
7284
579.4 IPS |
|
|
Object Detection (Q)
|
91% |
7268
580.7 IPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
11940
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
13647
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45689
352.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
48961
378.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22303
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117229
150.7 IPS |
|
|
Style Transfer (Q)
|
100% |
122770
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4385
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25578
944.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26807
993.2 IPS |
|
|
Text Classification (SP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1873
32.4 IPS |
