MacBook Pro (14-inch, 2021)
Geekbench AI Score
3748
Single Precision Score
16383
Half Precision Score
16270
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | archuleta24 |
| Upload Date | December 04 2024 12:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1339
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
6772
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6507
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9811
159.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11244
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71070
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67278
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
7600
604.6 IPS |
|
|
Object Detection (Q)
|
91% |
7332
585.8 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
15528
184.5 IPS |
|
|
Face Detection (Q)
|
100% |
15106
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5967
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51435
396.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53948
421.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22271
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121237
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117321
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25874
955.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26524
979.4 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3951
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3860
66.7 IPS |
