MacBook Pro (14-inch, 2021)
Geekbench AI Score
3729
Single Precision Score
15910
Half Precision Score
15802
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
6735
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6433
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9746
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10381
168.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11292
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
71959
84.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65871
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
99% |
7911
629.3 IPS |
|
|
Object Detection (Q)
|
91% |
7310
584.1 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
16218
192.7 IPS |
|
|
Face Detection (Q)
|
100% |
15172
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50855
391.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53098
414.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22445
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121127
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115744
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4372
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25769
951.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27578
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3623
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3670
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2983
51.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3200
55.3 IPS |
