MacBook Pro (14-inch, 2021)
Geekbench AI Score
9599
Single Precision Score
10995
Half Precision Score
10028
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 09:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4924
915.7 IPS |
|
|
Image Classification (HP)
|
100% |
4971
924.4 IPS |
|
|
Image Classification (Q)
|
97% |
4306
803.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8717
141.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10244
166.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9990
161.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
42594
49.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
44437
51.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
41735
48.9 IPS |
|
|
Object Detection (SP)
|
100% |
4138
328.2 IPS |
|
|
Object Detection (HP)
|
100% |
4581
363.4 IPS |
|
|
Object Detection (Q)
|
91% |
4550
363.6 IPS |
|
|
Face Detection (SP)
|
100% |
18942
225.1 IPS |
|
|
Face Detection (HP)
|
100% |
19285
229.1 IPS |
|
|
Face Detection (Q)
|
100% |
13786
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22861
176.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24733
190.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
21618
169.0 IPS |
|
|
Style Transfer (SP)
|
100% |
83095
106.8 IPS |
|
|
Style Transfer (HP)
|
100% |
106262
136.6 IPS |
|
|
Style Transfer (Q)
|
96% |
97666
126.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15034
555.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16642
614.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13347
492.9 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3296
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
984
17.0 IPS |
