MacBook Pro (14-inch, 2021)
Geekbench AI Score
3251
Single Precision Score
5364
Half Precision Score
4473
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | wyncdavies |
| Upload Date | January 21 2025 09:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 2.09 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
845
157.1 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (Q)
|
96% |
1051
196.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1831
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5007
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
22338
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17597
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
97% |
2422
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
5557
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5884
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11171
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7507
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22628
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36213
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27824
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4494
165.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6456
238.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4164
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3959
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3324
57.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4977
86.0 IPS |
